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As the prevalence of
commercial value based contracts grows, so too does the variability of a
provider's overall compensation. In value based contracting, providers
are "measured" on certain performance metrics that will dictate ho much
they are ultimately paid. In this environment, risk adjustment plays an
integral role in determining the provider's "measurement" of financial
performance.

For value based contracts to be equitable to all parties, risk
adjustment should endeavor to accurately capture the change in the
underlying population's morbidity to effectively measure the provider's
true cost impact on its attributed population. Accurate data is
critical in this regard to deliver accurate risk adjustment. The
accuracy of risk adjustment is dependent on a provider's capability in
capturing the most accurate diagnosis information on patients. Improving
risk adjustment accuracy can significantly change a provider's
calculated measurement on performance metrics.

Please join us Wednesday, December 13th, 2017 at 1 PM Eastern as Milliman's
Rong Yi, PhD explores various aspects of risk sharing as it pertains to
value-based contracting for commercial lines of business and addresses
the relationship between data accuracy, risk adjustment and measurement
of performance metrics in the HealthcareWebSummit event:
Provider Coding Accuracy in Commercial Value Based Contracts: Impact on
Risk Adjustment and Performance Metrics.

After attending this webinar, attendees will be
able to:

Understand the relationships between data accuracy, risk
adjustment and measurement of performance metrics.

Explore various aspects of risk sharing as it pertains to
value-based contracting for commercial lines of business.

Identify common claim data issues.

Quantify the potential impact of rectifying data accuracy
issues.

Consider how provider organizations can improve data
accuracy.

Engage in interactive learning through online question
submission, attendee feedback and opportunity for follow up
questions, and networking with attendees, faculty and other
professionals through dedicated LinkedIn group.

Rong is a Principal with the New York office of Milliman.
She joined the firm in 2009.

Rong has extensive experience in healthcare analytics,
especially in the fields of in risk adjustment and
predictive modeling. She has worked with private insurers,
providers, employers, government agencies, and researchers
in the United States and other parts of the world. She is a
frequent speaker at professional and academic conferences.

Rong has done pioneering work in a number of areas,
including state-based risk adjustment programs for the
commercial markets and for the uninsured population,
risk-based provider contracting and profiling, risk-adjusted
episodes of care, and predictive models for a variety of
business applications. She works with clients to implement
analytic methodologies and tools into their business
process, and in this capacity assists clients to develop
business rules and operational guidance to ensure program
operational success. Most recently, she is the lead
consultant for the Massachusetts ACA risk adjustment
program, and led the development, implementation and
operations of the Massachusetts state-based risk adjustment
methodology for the commercial individual and small group
market.

Before joining Milliman, Rong was a major contributor to
commercial and governmental risk adjustment systems in wide
use today.